Description
This is my first #TidyTuesday plot! This plot is kind of basic 4 panel bar chart (which is my favorite type of chart) which leans into my preference of making compound plots (packing in a lot of information). The bulk of the work is some basic regex on the designer names, since it’s a string whereby more than one designer is included.
Description
This submission is a bit more complicated that it is an animation using gganimate. The plot itself is still pretty basic (still a bar chart). The graph displays the relative proportions of phones as mobile versus landline over time across different continents. Colors using ggsci.
Description
This is another compound graph with multiple panels using facet_grid. This plot explores mosaic plots using `ggmosaic, which can show the relationship between two categorical variables with more than 2 categories. Box size indicate magnitude of frequency of a certain combination of categories (for example, the frequency of wildlife as a feature among highly rated trails). Using these plots, you can see the overrepresentation of some trail features between highly rated and lowly rated trails. For example, in short trails with tall high points, the presence of established campsites usually indicate a higher rating. However, that is not the same for longer trails of similar heights. Colors using ggsci.